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JuliaGaussianProcesses / KernelFunctions.jl

Julia package for kernel functions for machine learning
https://juliagaussianprocesses.github.io/KernelFunctions.jl/stable/
MIT License
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CompatHelper: bump compat for Functors to 0.4, (keep existing compat) #488

Closed github-actions[bot] closed 1 year ago

github-actions[bot] commented 1 year ago

This pull request changes the compat entry for the Functors package from 0.1, 0.2, 0.3 to 0.1, 0.2, 0.3, 0.4. This keeps the compat entries for earlier versions.

Note: I have not tested your package with this new compat entry. It is your responsibility to make sure that your package tests pass before you merge this pull request.

codecov[bot] commented 1 year ago

Codecov Report

Base: 76.35% // Head: 31.61% // Decreases project coverage by -44.73% :warning:

Coverage data is based on head (5ad69ca) compared to base (8465c1b). Patch has no changes to coverable lines.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #488 +/- ## =========================================== - Coverage 76.35% 31.61% -44.74% =========================================== Files 52 52 Lines 1370 1360 -10 =========================================== - Hits 1046 430 -616 - Misses 324 930 +606 ``` | [Impacted Files](https://codecov.io/gh/JuliaGaussianProcesses/KernelFunctions.jl/pull/488?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses) | Coverage Δ | | |---|---|---| | [src/basekernels/sm.jl](https://codecov.io/gh/JuliaGaussianProcesses/KernelFunctions.jl/pull/488/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL2Jhc2VrZXJuZWxzL3NtLmps) | `0.00% <0.00%> (-100.00%)` | :arrow_down: | | [src/basekernels/fbm.jl](https://codecov.io/gh/JuliaGaussianProcesses/KernelFunctions.jl/pull/488/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL2Jhc2VrZXJuZWxzL2ZibS5qbA==) | `0.00% <0.00%> (-100.00%)` | :arrow_down: | | [src/basekernels/gabor.jl](https://codecov.io/gh/JuliaGaussianProcesses/KernelFunctions.jl/pull/488/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL2Jhc2VrZXJuZWxzL2dhYm9yLmps) | `0.00% <0.00%> (-100.00%)` | :arrow_down: | | [src/basekernels/cosine.jl](https://codecov.io/gh/JuliaGaussianProcesses/KernelFunctions.jl/pull/488/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL2Jhc2VrZXJuZWxzL2Nvc2luZS5qbA==) | `0.00% <0.00%> (-100.00%)` | :arrow_down: | | [src/basekernels/matern.jl](https://codecov.io/gh/JuliaGaussianProcesses/KernelFunctions.jl/pull/488/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL2Jhc2VrZXJuZWxzL21hdGVybi5qbA==) | `0.00% <0.00%> (-100.00%)` | :arrow_down: | | [src/basekernels/constant.jl](https://codecov.io/gh/JuliaGaussianProcesses/KernelFunctions.jl/pull/488/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL2Jhc2VrZXJuZWxzL2NvbnN0YW50Lmps) | `0.00% <0.00%> (-100.00%)` | :arrow_down: | | [src/basekernels/periodic.jl](https://codecov.io/gh/JuliaGaussianProcesses/KernelFunctions.jl/pull/488/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL2Jhc2VrZXJuZWxzL3BlcmlvZGljLmps) | `0.00% <0.00%> (-100.00%)` | :arrow_down: | | [src/basekernels/rational.jl](https://codecov.io/gh/JuliaGaussianProcesses/KernelFunctions.jl/pull/488/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL2Jhc2VrZXJuZWxzL3JhdGlvbmFsLmps) | `0.00% <0.00%> (-100.00%)` | :arrow_down: | | [src/basekernels/nn.jl](https://codecov.io/gh/JuliaGaussianProcesses/KernelFunctions.jl/pull/488/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL2Jhc2VrZXJuZWxzL25uLmps) | `0.00% <0.00%> (-98.00%)` | :arrow_down: | | [src/basekernels/wiener.jl](https://codecov.io/gh/JuliaGaussianProcesses/KernelFunctions.jl/pull/488/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL2Jhc2VrZXJuZWxzL3dpZW5lci5qbA==) | `0.00% <0.00%> (-92.86%)` | :arrow_down: | | ... and [37 more](https://codecov.io/gh/JuliaGaussianProcesses/KernelFunctions.jl/pull/488/diff?src=pr&el=tree-more&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses) | | Help us with your feedback. Take ten seconds to tell us [how you rate us](https://about.codecov.io/nps?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses). Have a feature suggestion? [Share it here.](https://app.codecov.io/gh/feedback/?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses)

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